WILLEM AI ECG registry for adults at high risk of heart disease
Official title: Registry Study for the Evaluation of High-risk Cardiac Patients by WILLEM AI-based ECG Platform
Run by Idoven 1903 S.L. · NCT07333547 · Data updated 2026-11-12
This registry will test whether the WILLEM AI can read ECGs to detect cardiac abnormalities in adults at high risk for heart disease using real-world hospital and wearable recordings.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 200000 (estimated) |
| Sponsor | Idoven 1903 S.L. Industry-sponsored |
| Locations | 5 sites (Nashville, Tennessee and 4 other locations) |
| Status | Recruiting |
| Started | February 3, 2026 |
| Main results expected | January 2036 |
| Study ends | January 2036 |
| Registry record updated | July 20, 2026 |
| Trial ID | NCT07333547 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are adults (over 18) at high risk for cardiac disease who have at least one legible raw ECG tracing from any supported device and available clinical data.
✕Probably not a fit
Patients without usable raw ECG data, children under 18, or people not classified as high cardiac risk are unlikely to benefit from participation.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This is a large, single-group observational registry that will collect both retrospective and prospective ECGs and linked clinical data to generate real-world evidence on WILLEM's performance. The platform will process raw ECG tracings from a range of devices (12-lead, Holters, wearables, patches, telemetry, etc.) that meet minimum duration and sampling requirements. Sites will submit de-identified ECG raw data and associated clinical information so WILLEM's automated interpretations can be compared with clinical findings and local standards of care. The study focuses on adults admitted to cardiovascular units who are considered high risk for cardiac disease across participating hospitals in the US and Spain.
Why it matters
Potential benefit: If successful, WILLEM could speed up ECG interpretation, improve early detection of cardiac abnormalities, and reduce the workload and costs for cardiology services.
How similar studies have gone: Previous clinical trials of WILLEM have shown promising ECG interpretation performance, but broader real-world registry evidence remains limited.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * EC/IRB approval of ICF waiver prior to recruitment; otherwise, signed informed consent form by subject and investigator * Age \> 18 years-old, with no upper limit * Subjects undergoing standard of care electrocardiogram (ECG) of any duration from any hardware device * All available, but at least one, legible ECG tracings in raw data format (e.g. DICOM, XML, EDF, JSON, HL7, SCP, WFDB, CSV, etc.) * Available subject clinical data associated with the ECG * For 12-lead ECGs, a minimum length of 10 seconds at a minimum sample frequency of 250 Hz * For ECGs from Holters, wearables, patches, insertable cardiac monitors, telemetries, etc., a minimum length of 30 seconds at a minimum sample frequency of 200 Hz with a lead I / II or its MCL-DII lead approximation * For prospective eligibility only: * Signed informed consent form, unless previously waived by the EC/IRB * Site technical viability for ECG and subject clinical data transfer (e.g. end-to-end integration following interoperability standards such as FHIR, HL7 or DICOM) Exclusion Criteria: * Unavailable or suboptimal quality of the raw data from the ECG signal * Age \< 18 years-old
Where it's running
-
Vanderbilt University Medical Center
Nashville, Tennessee, United States Recruiting -
CardioHeredia
Guayaquil, Guayas, Ecuador Recruiting -
Puerta de Hierro University Hospital
Madrid, Spain Recruiting -
La Paz University Hospital
Madrid, Spain Not yet recruiting -
Murcia University
Murcia, Spain Not yet recruiting
Study contacts
- Study coordinator: Manuel Marina-Breysse, MD, PhD
- Email: clinical@idoven.ai
- Phone: +34669752391
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.